Mapping Vulnerability Variables - Jia Zhang, Adeline Chum

Mapping Vulnerability Variables
Jia Zhang, Adeline Chum, Center for Spatial Research at Columbia University GSAPP
This series of interactive visualizations take apart the CDC’s Social Vulnerability Index(SVI) to show its 15 Census variable components and what vulnerabilities look like qualitatively with satellite imagery. In the past year, the SVI has been in frequent use for data driven projects that have attempted to predict the effects of the pandemic and propose solutions for the allocation of aid. With our maps, readers are asked to change the composition and definition of vulnerability by including and excluding variables. This current series of maps is based in New York City and serves as our initial case study for developing a framework which visualizes public datasets as filtering mechanisms for the exploration of satellite imagery.